Performance Evaluation of DDMA MIMO Radar Detection in the Presence of Correlated Clutter

The concept of Multiple-Input Multiple-Output (MIMO) radar is transmitting orthogonal waveforms to permit each receiver separating the signals from each transmitter. MIMO radar emits wide beam to observe a large area at once and to achieve a long illumination time, which can improve velocity and ang...

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Published in:2024 International Telecommunications Conference (ITC-Egypt) pp. 590 - 595
Main Authors: Romeh, M. A., Moustafa, K. H., Ahmed, Fathy M., Mehany, Wael
Format: Conference Proceeding
Language:English
Published: IEEE 22-07-2024
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Abstract The concept of Multiple-Input Multiple-Output (MIMO) radar is transmitting orthogonal waveforms to permit each receiver separating the signals from each transmitter. MIMO radar emits wide beam to observe a large area at once and to achieve a long illumination time, which can improve velocity and angle resolution and mitigate the clutter effects to improve drones' detection. This paper investigates the effect of different correlated clutter models on the Doppler Division Multiple Access (DDMA) MIMO radar. This model is designed to generate two waveforms: Linear Frequency Modulation (LFM), or Nonlinear Frequency Modulation (NLFM) radar waveforms. The results obtained in this paper show that NLFM MIMO radar waveform enhances the detection performance of DDMA MIMO radar more than LFM MIMO radar waveform in the presence of different correlated clutter models for small RCS targets (drones).
AbstractList The concept of Multiple-Input Multiple-Output (MIMO) radar is transmitting orthogonal waveforms to permit each receiver separating the signals from each transmitter. MIMO radar emits wide beam to observe a large area at once and to achieve a long illumination time, which can improve velocity and angle resolution and mitigate the clutter effects to improve drones' detection. This paper investigates the effect of different correlated clutter models on the Doppler Division Multiple Access (DDMA) MIMO radar. This model is designed to generate two waveforms: Linear Frequency Modulation (LFM), or Nonlinear Frequency Modulation (NLFM) radar waveforms. The results obtained in this paper show that NLFM MIMO radar waveform enhances the detection performance of DDMA MIMO radar more than LFM MIMO radar waveform in the presence of different correlated clutter models for small RCS targets (drones).
Author Moustafa, K. H.
Mehany, Wael
Ahmed, Fathy M.
Romeh, M. A.
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  givenname: K. H.
  surname: Moustafa
  fullname: Moustafa, K. H.
  email: khaled.hussein@miuegypt.edu.eg
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  givenname: Fathy M.
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  organization: Military Technical College,Radar Department,Cairo,Egypt
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  givenname: Wael
  surname: Mehany
  fullname: Mehany, Wael
  email: waelelfarra@mtc.edu.eg
  organization: Military Technical College,Radar Department,Cairo,Egypt
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Snippet The concept of Multiple-Input Multiple-Output (MIMO) radar is transmitting orthogonal waveforms to permit each receiver separating the signals from each...
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StartPage 590
SubjectTerms Clutter
correlated clutter models
drone detection
Gaussian distribution
MIMO radar
Multiple-Input Multiple-Output (MIMO) radar
Radar cross-sections
Receivers
Telecommunications
Transmitters
waveform design
Title Performance Evaluation of DDMA MIMO Radar Detection in the Presence of Correlated Clutter
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